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All issues Volume 87 (2020) SHS Web of Conf., 87 (2020) 00008 References
Open Access
Issue
SHS Web of Conf.
Volume 87, 2020
International Scientific and Practical Conference “Teacher Professionalism: Psychological and Pedagogical Support of a Successful Career” (ICTP 2020)
Article Number 00008
Number of page(s) 11
DOI https://doi.org/10.1051/shsconf/20208700008
Published online 08 December 2020
  1. Voronin, D.M., Saienko, V.G., Tolchieva, H.V. (2020) Digital Transformation of Pedagogical Education at the University. International Scientific Conference “Digitalization of Education: History, Trends and Prospects” (DETP 2020). Atlantis Press P, 760-766. SN 2352-5398. https://doi.org/10.2991/assehr.k.200509.135 [Google Scholar]
  2. Voronin, D., Egorova, G., Khotuleva, O. (2019) Expirience in the implementation of blended learning with elements of project activities in the pedagogical Master’s program with the example of training teachers of biology Perspectives of science & education, 2 (38), 155-166. doi: 10.32744/pse.2019.2.13 [Google Scholar]
  3. Voronin, D., Mishina, O., Zavaltseva, O. (2018) Modern educational organization effectiveness criteria as education quality evaluation and quality enhancement basis. Perspectives of science & education, 5 (35), 18-26. [CrossRef] [Google Scholar]
  4. Heik, T. (2019) 12 of the most common types of blended learning. [Internet resource]: https://www.teachthought.com/learning/12-types-of-blended-learning. Date of request: 23.09.2020 [Google Scholar]
  5. Bayne, S., Evans, P., Ewins, R.,Knox, J., Lamb, J., McLeod, H., O’Shea, C., Ross, J., Sheail, P. & Sinclair, C, (2016) Manifesto for teaching online. Digital Education at Edinburg University. Retrieved from https://onlineteachingmanifesto.wordpress.com/the-text/ [Google Scholar]
  6. Kintu, M.J., Zhu, C., Kagambe, E. (2017) Blended learning effectiveness: therelationship between studentcharacteristics, design features andoutcomes. Technology in Higher Education, 14:7. DOI 10.1186/s41239-017-0043-4 [Google Scholar]
  7. Hu, M., Arnesen, K., Barbour, M.K., Leary, H. (2019) A Newcomer’s Lens: A Look at K-12 Online and Blended Learning in the Journal of Online Learning Research, 5 (2), 123-144 [Google Scholar]
  8. Fischer, L., Hilton, J., Robinson, T.J., & Wiley, D. A Multi-institutional Study of the Impact of Open Textbook Adoption on the Learning Outcomes of Post-secondary Students, Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-015-9101-x. (2015) [Google Scholar]
  9. Dziuban, C., Graham, C.R., Moskal, P.D., Norberg, A., Sicilia, N., Blended learning: the new normal andemerging technologies. Dziubanet al. International Journal of Educational Technology in Higher Education, 15:3, DOI 10.1186/s41239-017-0087-5. (2018) [Google Scholar]
  10. Bicen, H., Ozdamli, F., Uzunboylu, H. (2014). Online and blended learning approach on instructional multimedia development courses in teacher education. Interactive Learning Environments, 22 (4), 529-548. https://doi.org/10.1080/10494820.2012.682586 [CrossRef] [Google Scholar]
  11. The definition of blended learning Teachthought. We grow teachers. [Internet resource]: https://www.teachthought.com/learning/the-definition-of-blended-learning. Date of request: 23.09.2020 (2020). [Google Scholar]
  12. Cakir, H., Bichelmeyer, B.A. Effects of teacher professional characteristics on student achievement: An investigation in blended learning environment with standards-based curriculum. Interactive Learning Environments, 24 (1), 20-32. (2016) https://doi.org/10.1080/10494820.2013.817437 [CrossRef] [Google Scholar]
  13. Berenson, R., Boyles, G., Weaver, A. (2008). Emotional intelligence as a predictor for success in online learning. International Review of Research in open & Distance Learning, 9 (2), 1-16 [CrossRef] [Google Scholar]
  14. Adams Becker, S., Cummins, M., Davis, A., Freeman, A., Hall Giesinger, C., Ananthanarayanan, V. NMC horizon report: 2017 higher Education Edition. Austin: The New Media Consortium. (2017) [Google Scholar]
  15. Bernard, R.M., Borokhovski, E., Schmid, R.F., Tamim, R.M., Abrami, P.C. (A meta-analysis of blended learning and technology use in higher education: From the general to the applied. Journal of Computing in Higher Education, 26 (1), 87-122. (2014). https://doi.org/10.1007/s12528-013-9077-3 [CrossRef] [Google Scholar]
  16. Daun, M., Tenbergen, B., Salmon, A., Weyer, T., Pohl, K. Project-based Learning with Examples from Industry in University Courses 59-60, (2017) [Google Scholar]
  17. Cohen, K.E., Stage, F.K., Hammack, F.M., Marcus, A. Persistence of master’s students in the United States: Developing and testing of a conceptual model. USA: PhD Dissertation, New York University (2012) [Google Scholar]
  18. Moskal, P., Dziuban, C., Hartman, J. Blended learning: A dangerous idea? The Internet and Higher Education, 18, 15-23 (2013) [CrossRef] [Google Scholar]
  19. Allen, I.E., Seaman, J., Poulin, R., Straut, T.T. Online report card: Tracking online education in the United States, 1-4. (2016). Retrieved from http://onlinelearningsurvey.com/reports/onlinereportcard.pdf [Google Scholar]
  20. Floridi, L. The 4th revolution: How the infosphere is reshaping human reality (Oxford: Oxford University Press, 2014) [Google Scholar]
  21. Bloemer, W., Swan, K. Investigating informal blending at the University of Illinois Springfield. In A.G. Picciano, C.D. Dziuban, & C.R. Graham (Eds.), Blended learning: Research perspectives, 2, 52-69 (New York: Routledge, 2015) [Google Scholar]
  22. Hrastinski, S. What Do We Mean by Blended Learning? TechTrends, 63: 564-569 (2019) https://doi.org/10.1007/s11528-019-00375-5 [CrossRef] [Google Scholar]
  23. Dziuban, C.D., Hartman, J.L., Moskal, P.D. Blended learning. EDUCAUSE Research Bulletin, 7, 1-12 (2004) [Google Scholar]

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